Medical Coding Made Navigable

TL;DR: ICD-10-CM (97K codes), LOINC (102K), NCI Thesaurus (211K), MeSH (31K) - all in one searchable graph. One query searches across every clinical system. One API call translates between them.

The systems at a glance

graph TB
  subgraph Diagnoses
    ICD10CM["ICD-10-CM\n97,606 codes"]
    ICD11["ICD-11 MMS\n37,052 codes"]
    ICD10PCS["ICD-10-PCS\n79,987 codes"]
    ICDO3["ICD-O-3\n115 codes"]
  end
  subgraph Drugs
    ATC["ATC\n6,440 codes"]
    NDC["NDC\n112,077 codes"]
    RXNORM["RxNorm"]
  end
  subgraph Lab
    LOINC["LOINC\n102,751 codes"]
    SNOMED["SNOMED CT"]
  end
  subgraph Research
    NCI["NCI Thesaurus\n211,072 codes"]
    MESH["MeSH\n31,124 codes"]
  end
  ICD10CM -.-> ICD11
  ATC -.-> NDC
  ICD10CM -.-> NCI
  LOINC -.-> SNOMED
  NCI -.-> MESH

System	Codes	Classifies
ICD-10-CM	97,606	Diagnoses (US clinical)
ICD-10-PCS	79,987	Procedures (US inpatient)
ICD-11 MMS	37,052	Diagnoses (WHO latest)
LOINC	102,751	Lab tests and observations
NCI Thesaurus	211,072	Cancer research ontology
NDC	112,077	Drug products (FDA)
MeSH	31,124	Medical literature indexing
ATC	6,440	Drug therapeutic classes

Plus dozens of domain systems covering nursing, lab testing, imaging, pathology, pharmacy, clinical trials, and telemedicine.

One search, all systems

curl "https://wot.aixcelerator.ai/api/v1/search?q=diabetes&grouped=true"

Results come back grouped by system:

System	Code	Title
ICD-10-CM	E11	Type 2 diabetes mellitus
ICD-10-CM	E10	Type 1 diabetes mellitus
ICD-11	5A11	Type 2 diabetes mellitus
LOINC	-	HbA1c, glucose, insulin tests
ATC	A10	Drugs used in diabetes
MeSH	-	Diabetes Mellitus (heading)

One query. Five systems. Structured results with codes, titles, and hierarchy context.

Navigate deep hierarchies

ICD-10-CM codes can be 7 characters deep. The ancestors endpoint walks the full path:

curl "https://wot.aixcelerator.ai/api/v1/systems/icd10cm/nodes/E11.65/ancestors"

graph TD
  ROOT["ICD-10-CM"] --> CH4["Chapter 4: Endocrine"]
  CH4 --> E08["E08-E13: Diabetes mellitus"]
  E08 --> E11["E11: Type 2 diabetes"]
  E11 --> E1165["E11.65: Type 2 with hyperglycemia"]
  style E1165 fill:#E11D48,color:#fff

Every level of clinical grouping from the specific code up to the chapter - in one call.

Cross-system translation

A hospital's billing department works in ICD-10-CM. The research team uses MeSH. Quality reporting needs ICD-11.

curl "https://wot.aixcelerator.ai/api/v1/systems/icd10cm/nodes/E11/equivalences"

Returns crosswalk edges to ICD-11, MeSH, NCI Thesaurus, and other systems - with match types indicating the precision of each mapping.

Use cases

Who	What	Systems involved
Clinical coders	Assign diagnosis codes to encounters	ICD-10-CM, ICD-10-PCS
Lab directors	Standardize test ordering	LOINC, SNOMED CT
Pharmacists	Drug classification and interaction checking	ATC, NDC, RxNorm
Researchers	Literature search and ontology navigation	MeSH, NCI Thesaurus
Quality teams	ICD-10 to ICD-11 migration analysis	ICD-10-CM, ICD-11
Billing teams	DRG assignment and HCPCS coding	MS-DRG, HCPCS, CPT

Data provenance

Medical coding accuracy matters - wrong codes lead to claim denials, audit flags, and patient safety issues.

Core systems are ingested directly from authoritative sources:

System	Source
ICD-10-CM	CMS (Centers for Medicare & Medicaid Services)
ICD-11	WHO (World Health Organization)
LOINC	Regenstrief Institute
ATC	WHO Collaborating Centre for Drug Statistics
NDC	FDA National Drug Code Directory
NCI Thesaurus	National Cancer Institute

No intermediaries. No third-party transformations. For licensed systems (CPT, SNOMED CT), structural skeletons provide hierarchy and crosswalk connectivity.